9783030396428-3030396428-Text Analysis with R: For Students of Literature (Quantitative Methods in the Humanities and Social Sciences)

Text Analysis with R: For Students of Literature (Quantitative Methods in the Humanities and Social Sciences)

ISBN-13: 9783030396428
ISBN-10: 3030396428
Edition: 2nd ed. 2020
Author: Jockers, Matthew L., Thalken, Rosamond
Publication date: 2020
Publisher: Springer
Format: Hardcover 300 pages
FREE shipping on ALL orders

Book details

ISBN-13: 9783030396428
ISBN-10: 3030396428
Edition: 2nd ed. 2020
Author: Jockers, Matthew L., Thalken, Rosamond
Publication date: 2020
Publisher: Springer
Format: Hardcover 300 pages

Summary

Acknowledged authors Jockers, Matthew L., Thalken, Rosamond wrote Text Analysis with R: For Students of Literature (Quantitative Methods in the Humanities and Social Sciences) comprising 300 pages back in 2020. Textbook and eTextbook are published under ISBN 3030396428 and 9783030396428. Since then Text Analysis with R: For Students of Literature (Quantitative Methods in the Humanities and Social Sciences) textbook was available to sell back to BooksRun online for the top buyback price of $ 16.49 or rent at the marketplace.

Description

Now in its second edition, Text Analysis with R provides a practical introduction to computational text analysis using the open source programming language R. R is an extremely popular programming language, used throughout the sciences; due to its accessibility, R is now used increasingly in other research areas. In this volume, readers immediately begin working with text, and each chapter examines a new technique or process, allowing readers to obtain a broad exposure to core R procedures and a fundamental understanding of the possibilities of computational text analysis at both the micro and the macro scale. Each chapter builds on its predecessor as readers move from small scale “microanalysis” of single texts to large scale “macroanalysis” of text corpora, and each concludes with a set of practice exercises that reinforce and expand upon the chapter lessons. The book’s focus is on making the technical palatable and making the technical useful and immediately gratifying.

Text Analysis with R is written with students and scholars of literature in mind but will be applicable to other humanists and social scientists wishing to extend their methodological toolkit to include quantitative and computational approaches to the study of text. Computation provides access to information in text that readers simply cannot gather using traditional qualitative methods of close reading and human synthesis. This new edition features two new chapters: one that introduces dplyr and tidyr in the context of parsing and analyzing dramatic texts to extract speaker and receiver data, and one on sentiment analysis using the syuzhet package. It is also filled with updated material in every chapter to integrate new developments in the field, current practices in R style, and the use of more efficient algorithms.

Rate this book Rate this book

We would LOVE it if you could help us and other readers by reviewing the book